Learning factories represent a realistic manufacturing environment for education, training, and research. In the last decades, numerous learning factories have been built in academia and industry. [1]
The term learning factory consists of two words. The word 'learning' indicates the development of competencies, while the word 'factory' defines a realistic manufacturing environment. [2] The generally accepted definition was agreed within the CIRP CWG and published in the CIRP Encyclopedia: [3] According to the International Academy for Production Engineering (CIRP) a learning factory is defined by
Depending on the purpose of the learning factory, learning takes place through teaching, training and/or research. Consequently, learning outcomes may be competency development and/or innovation. An operating model ensuring the sustained operation of the learning factory is desirable. [4]
The difference between learning factories and model factories is that learning factories provide a didactical concept and an operating model for training.
The term 'learning factory' was first coined in the US in 1994, when the National Science Foundation (NSF) awarded a consortium of the Penn State University. Industry-related design projects have been supported on a 2000 m2 facility with machines, tools, and materials. Real problems of the industry could be solved in a realistic environment. In 2006, the program received the National Academy of Engineering's Gordon Prize for Innovation in Engineering Education. In Europe, more and more learning factories have been designed in the last decade. One of the first learning factories in this wave is the 'Center for industrial Productivity' founded by the Institute for Production Management, Technology and Machine Tools (Technische Universität Darmstadt), established in 2007 (see section 3). [1] In 2011, the Initiative on 'European Learning Factories' was established with the 1st Conference on Learning Factories in Darmstadt (Germany). [5] The Initiative has led to a European collaboration on the topic of learning factories. In 2017, the initiative decided to include learning factories from all continents and renamed itself to the 'International Association of Learning Factories'.
In the Process Learning Factory CiP of the Technische Universität Darmstadt focuses on developing competencies for lean production and Industrie 4.0. It has been established in 2007. The delivery of raw material, machining, quality control, assembly, packing, and indirect processes are simulated similar to a small and medium-sized enterprise . Besides the eight variants of the pneumatic cylinder, customer-individualized requirements of different measurements are implemented in a lean machining area. On about 500 m2, learners apply lean methods and solve problems on own experience. The learning factory can map different scenarios from a wasteful and unbalanced production environment to a lean and a digital lean state. The 15 different learning modules are structured in lean basics, lean core elements and lean thinking. Within a learning module, practical experiences alternate with theoretical teaching. The Process Learning Factory CiP is a part of the SME competency center for the Rhine-Main area funded by the German Federal Ministry for Economic Affairs and Energy. With new implemented Industrie 4.0-technologies the concept of lean is extended. Different technologies are implemented, e.g. product traceability, worker assistance, digital shopfloor management, predictive maintenance, milk run 4.0 and AGVs. With each implemented technology new topics for the learning modules are integrated. Furthermore, the operating institute has established many learning factories for academia and industry worldwide. [5] [6] [7]
In the TU Wien Pilot Factory focuses on Industrie 4.0. It is a realistic test environment with real machines, real production chains, and a real product. On 900 m2 a 3D printer is produced that uses the principle of fused deposition modeling. The printer dimensions can be configured on customer requirements. Different Industrie 4.0-concepts are integrated, e.g. process and layout adaptivity, a high degree of human-machine interaction, and use of data analytics for transparency and optimization. AGV transportation connects the manufacturing with the assembly area. The material is replenished automatically. Furthermore, operators are assisted with collaborative robots, assistance systems, sensor technology, and image processing. [5] [6] [8]
The Stellenbosch Learning Factory of the Stellenbosch University provides trainings for lean operations, ergonomics and is a research platform for Industrie 4.0. The target groups are industry partners and students for industrial engineering. New developments include a double degree M.Sc. Program with the Reutlingen University. German students have the possibility to visit a summer school. In the learning factory a RFID track and trace-system and a real time KPI visualization are integrated. The product of the Stellenbosch University is a O-scale train set. [5]
The iFactory of the University of Windsor has the main topics integrated product – systems learning and Industrie 4.0. Desksets and automobile belt tensioners are assembled on 200 sqm. The tracking of processes and production operations planning and scheduling is possible with RFID tags. The complete system is modular and reconfigurable with equipment from FESTO Didactic. The main purpose of the learning factory is research, teaching and demonstration for students and industry. The learning factory was set up in 2011 and is the first of its kind in North America. [5] [6]
The Operational Excellence Laboratory of the Université du Luxembourg is place for industrial partners to get hands-on experience of lean tools and demonstrate new technology related to Industrie 4.0. Examples for new technologies are the integration of RFID, augmented reality and digital manuals. Furthermore engineering master students are trained. The learning factory is a platform for retrofitting new technological features to develop, analyze and validate their usability in assembly or disasssembly lines. The product of the learning factory is a hole puncher. [5]
The focus of the Learning Factory for Lean production (LSP) at the TU München is lean production. The manufactured product is a real gearbox with 24 variants. The facility consists of an assembly area, a kaizen workshop area, and a theoretical teaching area. The processes logistics, assembly, quality control and packaging are mapped. A typical lean journey is recreated during the course: from an unsatisfying situation to a lean state. The theory is taught in theory lessons slots. Four to six trainings are offered every year. The mobile equipment can be transported to any location. [5] [6]
The main topics of the LPS Learning Factory are lean production, Industrie 4.0 and resource efficiency. It was established in 2009 by the Ruhr Universität Bochum. Bottle caps, bottle cap holders and various make-to-order products are manufactured on 1800 m2. The production environment includes various machine tools, load transports, manual assembly stations, and various industrial robots. The main topics are lean production, Industrie 4.0 and resource efficiency. Every year 900 students are practicing exercises. Real products that are purchased for the industry are produced. Besides that, numerous research projects take place in the learning factory, e.g. Industrie 4.0 maturity model, assistance and learning systems, cyber-physical production systems and industrial robotics. Since 2018 the learning factory is part of the SME 4.0 competence center Siegen. [5] [6] [9]
The Werk150 (formerly ESB Logistics Learning Factory) at ESB Business School is an authentic learning, development and research environment. The facility, which was started in 2014, provides a cutting-edge infrastructure for the training and advanced training of students. Moreover, topical issues of applied research are also addressed, and new methods, tools and future technologies as well as control methods for adaptable work and logistics systems are developed and tested. The results of the applied research are continuously integrated in the course activities. The Werk150 images a model production company with its entire industrial value chain and a changing product and services portfolio. Especially processes in the areas of product and work system engineering, incoming goods, storage, order picking, production, assembly and additive manufacturing as well as distribution are replicated and looked at in their entirety.
In the Werk150 the requirements and influences from Industry 4.0 are investigated and conveyed in teaching and further training courses. It has a digital twin or image that is linked with a real factory using information and communication technologies. Thus, both products and production can be planned and simulated virtually, production controlled digitally and the status and localisation of orders, parts and resources monitored in real time.
The P2O-Lab is a 110 m2 learning factory on the premises of the Dresden University of Technology. [10] Building on solution approaches from the fields of modularization, digitization and artificial intelligence, the P2O-Lab investigates the next steps to serve highly variable markets with almost binary product life cycles. [11] The P2O Lab asks itself which requirements, models, methods, and tools must be fulfilled for this. As an accompanying UserStory, the goal is to derive, evaluate and implement a suitable process from existing plant modules directly from the product order. The findings from the current research are subsequently flowing into the teaching of the Faculty of Electrical Engineering at the TU Dresden. In addition, students as well as external persons have the opportunity to gain hands-on experience in the P2O-Lab in the context of workshops and internships.
Since 2011, the MPS Lernplattform of the Daimler AG manufactures different products on 3000 m2 with the main topic of lean production. The original components of the production as well as 1:10 models with several simulations are used. A press shop, body shop, paint shop, assembly and logistics as parts of the automobile industry are simulated. The assembled products can be reused after the training: e.g. roof control units, sun visors, covers, floor mats or room tears. Qualified in-house employees carry out the training who have didactical background knowledge as well as long-term experience in the production area. The training consists of 20% theory and 80% practice. More than ten different learning modules are offered for participants who take important insights to their daily work. The MPS Lernplattform increasingly relies on cooperation with external partners such as the TU Darmstadt. [6]
The Festo Learning Factory in Scharnhausen is operated by Festo AG since 2014 with four different topics: mechanical processing (1), valve and valve terminal assembly (2), automation and process improvement (4), administration of the learning factory (4). Pneumatic valves and valve terminals are manufactured on 220 m² on four rooms. More than forty learning modules are offered on fourteen different workplaces. The participants are exclusively from Festo, especially for the training of new operators and advanced qualification of incumbent workers. Each team leader or a qualified team specialist trains the operators by themselves. Therefore 'Train-the-trainer'-modules have been developed. The trainings are developed continuously. New products, new processes, new production equipment are integrated. [6]
Name | Operator | Country | Product | Main Topics |
---|---|---|---|---|
Process Learning Factory CiP | Technical University Darmstadt | Germany | Pneumatic cylinder | Lean production and Industrie 4.0 |
DFA Demonstration Factory | RWTH Aachen | Germany | E-Mobility vehicles | Industrie 4.0, prototypes and industrialization |
Die Lernfabrik | TU Braunschweig | Germany | Diverse | Sustainable production, CPPS, urban production |
E|Drive-Center | Friedrich-Alexander-University Erlangen Nürnberg | Germany | Electric engines | Production technology |
Werk150 (formerly ESB Logistics Learning Factory) | ESB Business School Hochschule Reutlingen | Germany | City scooter & accessories | Design, implementation, optimization, and digitization of partially automated assembly and logistics systems |
ETA-Factory | PTW, TU Darmstadt | Germany | Control Plate for hydraulic pump, Gear-shaft combination | Energy efficiency, energy flexibility |
Festo Learning Factory Scharnhausen | Festo AG | Germany | Pneumatic valves and valve terminals | Workplace-oriented trainings, Industry 4.0, and lean production |
iFactory | University of Windsor | Canada | Desksets, belt tensioner | Integrated products – systems learning, Industry 4.0 |
IFA-Learning Factory | Leibnitz Universität Hannover | Germany | Helicopter and components | Factory planning, lean production, PPC |
Integrated Learning Factory | Ruhr-University Bochum | Germany | Percussion drilling machine | Collaboration of product development and production |
LEAD Factory | Graz University of Technology | Austria | Scooter | Lean Management, Energy efficiency, Agile operations, Digitalization |
LEAN-Factory | Fraunhofer IPK, TU Berlin, ITCL GmbH | Germany | Pharmaceutical tablets | Lean management |
Learning- and Innovation Factory (LIF) | TU Wien | Austria | Slot car | Integrated product & process planning, optimization of manufacturing and assembly operations |
Learning factory aIE | University of Stuttgart | Germany | Desk tool set | Lean production and quality management |
Learning Factory Global Production Karlsruhe | Karlsruhe Institute of technology | Germany | Electric drive | Lean production, assembly planning, Industrie 4.0 |
Lernfabrik für Schlanke Production (LSP) | TU München | Germany | Gears | Lean philosophy, Lean assembly |
LMS Factory | University Patras | Greece | Diverse | Training, education |
LPS Learning Factory | Ruhr-Universität Bochum | Germany | Bottle cap, bottle cap holder, various make-to-order products | Lean production, Industrie 4.0, resource efficiency, workers' participation, labor 4.0 |
MPS Lernplattform | Daimler AG | Germany | Different products | Lean |
MTA Sztaki Learning Factory Győr | MTA Sztaki | Hungary | Recyclable dummy workpieces | CPPS aspects |
Operational Excellence Laboratory | Université du Luxembourg | Luxemburg | Hole puncher | Lean production, Industrie 4.0 |
Pilot Factory Industrie 4.0 | TU Wien | Austria | 3D printer | Factory virtualization, adaptive manufacturing, cyber-physical assembly & logistics |
Smart Mini-Factory | Free University of Bolzano | Italy | Pneumatic cylinder, pneumatic impact wrench | Smart manufacturing systems, automation |
Smart Learning Factory - Skopje | Ss. Cyril and Methodius University in Skopje | North Macedonia | Didactical part from automotive industry | Lean Manufacturing, Industry 4.0 |
Stellenbosch Learning Factory | Stellenbosch University | South Africa | O-scale train set | Lean operations, ergonomics, Industrie 4.0 |
Process-to-Order Lab (P2O-Lab) | Dresden University of Technology | Germany | Algae, various chemical products | Modularization, digitization and artificial intelligence in the process industry |
The concept of learning factories offers potentials to former didactical and technical approaches. Through the realistic environment, learners are more motivated and the development of competencies facilitates. Problem-based, project-based or research-based learning is possible. Action-oriented learning results in significant advantages compared to traditional teaching methods. [12] Methods, innovations, and technologies can be transferred to the industry more easily. Through learning factories learners can apply methods on a realistic production environment without the negative effect of stopping production lines in their own enterprise. [13]
Learning Factories are designed on three design levels: [6]
More details about the design process of learning factories can be seen in the dissertation of Michael Tisch with the title "Modellbasierte Methodik zur kompetenzorientierten Gestaltung von Lernfabriken für die schlanke Produktion". [14]
The learning factory concept is also limited. The planning, development, construction, and operation of learning factories require financial and personnel resources. Physical learning factories need space in a facility. Machines, workplaces, and other factory elements must be purchased and maintained. Partners and personnel should be willing and able to participate in a learning factory. The sustainability must be ensured through an operating model. Furthermore, learning factories map limited sections of production environments. A single learning factory is not able to provide a suitable, general environment for all challenges in academia and industry. Specific industrial sectors, addressed topics, single production processes, company departments, and target groups are addressed. The mapping abilities of learning factories are limited. [13]
Lean manufacturing is a method of manufacturing goods aimed primarily at reducing times within the production system as well as response times from suppliers and customers. It is closely related to another concept called just-in-time manufacturing. Just-in-time manufacturing tries to match production to demand by only supplying goods that have been ordered and focus on efficiency, productivity, and reduction of "wastes" for the producer and supplier of goods. Lean manufacturing adopts the just-in-time approach and additionally focuses on reducing cycle, flow, and throughput times by further eliminating activities that do not add any value for the customer. Lean manufacturing also involves people who work outside of the manufacturing process, such as in marketing and customer service.
Computer-integrated manufacturing (CIM) is the manufacturing approach of using computers to control the entire production process. This integration allows individual processes to exchange information with each part. Manufacturing can be faster and less error-prone by the integration of computers. Typically CIM relies on closed-loop control processes based on real-time input from sensors. It is also known as flexible design and manufacturing.
The following outline is provided as an overview of and topical guide to manufacturing:
Industrial engineering is an engineering profession that is concerned with the optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information and equipment. Industrial engineering is central to manufacturing operations.
Detlef Zuehlke is a German engineer and professor.
Institut für Integrierte Produktion Hannover (IPH), which literally translates as "Hanover institute of integrated production", is a non-profit limited company providing research and development, consulting, and training in industrial engineering.
"Fourth Industrial Revolution", "4IR", or "Industry 4.0" is a neologism describing rapid technological advancement in the 21st century. The term was popularised in 2016 by Klaus Schwab, the World Economic Forum founder and executive chairman, who asserts that these developments represent a significant shift in industrial capitalism.
Industrial and production engineering (IPE) is an interdisciplinary engineering discipline that includes manufacturing technology, engineering sciences, management science, and optimization of complex processes, systems, or organizations. It is concerned with the understanding and application of engineering procedures in manufacturing processes and production methods. Industrial engineering dates back all the way to the industrial revolution, initiated in 1700s by Sir Adam Smith, Henry Ford, Eli Whitney, Frank Gilbreth and Lilian Gilbreth, Henry Gantt, F.W. Taylor, etc. After the 1970s, industrial and production engineering developed worldwide and started to widely use automation and robotics. Industrial and production engineering includes three areas: Mechanical engineering, industrial engineering, and management science.
A digital twin is a digital model of an intended or actual real-world physical product, system, or process that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.
Virtual machining is the practice of using computers to simulate and model the use of machine tools for part manufacturing. Such activity replicates the behavior and errors of a real environment in virtual reality systems. This can provide useful ways to manufacture products without physical testing on the shop floor. As a result, time and cost of part production can be decreased.
Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the supply chain, efficient production and recyclability. In this concept, as smart factory has interoperable systems, multi-scale dynamic modelling and simulation, intelligent automation, strong cyber security, and networked sensors.
Industrial augmented reality (IAR) is related to the application of augmented reality (AR) and heads-up displays to support an industrial process. The use of IAR dates back to the 1990s with the work of Thomas Caudell and David Mizell about the application of AR at Boeing. Since then several applications of this technique over the years have been proposed showing its potential in supporting some industrial processes. Although there have been several advances in technology, IAR is still considered to be at an infant developmental stage.
Design for verification (DfV) is a set of engineering guidelines to aid designers in ensuring right first time manufacturing and assembly of large-scale components. The guidelines were developed as a tool to inform and direct designers during early stage design phases to trade off estimated measurement uncertainty against tolerance, cost, assembly, measurability and product requirements.
Yoram Koren is an Israeli-American academic. He is the James J. Duderstadt Distinguished University Professor Emeritus of Manufacturing and the Paul G. Goebel Professor Emeritus of Engineering at the University of Michigan, Ann Arbor. Since 2014 he is a distinguished visiting professor at the Technion – Israel Institute of Technology.
Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, cost reduction, site optimization, predictive analysis and insight discovery.
MindSphere is an industrial IoT-as-a-service solution developed by Siemens for applications in the context of the Internet of Things (IoT). MindSphere stores operational data and makes it accessible through digital applications to allow industrial customers to make decisions based on valuable factual information. The system is used in applications such as automated production and vehicle fleet management.
Agile learning generally refers to the transfer of agile methods of project work, especially Scrum, to learning processes. Likewise, agile learning proceeds in incremental steps and through an Iterative design which alternates between phases of learning and doing. The tutors rather have the role of a learning attendant or supporter. In a narrower sense, it is intended to allow competence-oriented, media-based learning in the work process within companies. In addition, the term can take several other meanings and is also often used within e-learning and online environments.
Responsive computer-aided design is an approach to computer-aided design (CAD) that utilizes real-world sensors and data to modify a three-dimensional (3D) computer model. The concept is related to cyber-physical systems through blurring of the virtual and physical worlds, however, applies specifically to the initial digital design of an object prior to production.
A digital project twin is a virtual equivalent of intangible assets and processes by using digits, particularly binary digits, around a temporary undertaking.
The Digital twin integration level refers to the different degrees of data and information flow that may occur between the physical part and the digital copy of a digital twin. According to the different levels of integration, the digital twin can be divided into three subcategories: Digital Model (DM), Digital Shadow (DS) and Digital Twin (DT).